AttributeError：“”SimpleImputer“”对象在PyCaret中没有“”_validate_data“”属性“”

pip install --upgrade scikit-learn

pip install --upgrade pycaret

pip install --upgrade --force-reinstall scikit-learn pycaret

import pandas as pd
from sklearn.datasets import load_iris
from sklearn.impute import SimpleImputer
from pycaret.classification import *

# 加载数据集
data = load_iris()
df = pd.DataFrame(data.data, columns=data.feature_names)
df['target'] = data.target

# 使用 SimpleImputer 填充缺失值
imputer = SimpleImputer(strategy='mean')
df.iloc[:, :-1] = imputer.fit_transform(df.iloc[:, :-1])

# 初始化 PyCaret 分类模型
setup(data=df, target='target', session_id=123, log_experiment=True, experiment_name='iris_classification')

# 比较模型
best_model = compare_models()

# 创建模型
model = create_model('lr')

# 预测
predictions = predict_model(model, data=df)
print(predictions)